Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Lars Ridder"'
Autor:
Nicolas Renaud, Cunliang Geng, Sonja Georgievska, Francesco Ambrosetti, Lars Ridder, Dario F. Marzella, Manon F. Réau, Alexandre M. J. J. Bonvin, Li C. Xue
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
The authors present DeepRank, a deep learning framework for the data mining of large sets of 3D protein-protein interfaces (PPI). They use DeepRank to address two challenges in structural biology: distinguishing biological versus crystallographic PPI
Externí odkaz:
https://doaj.org/article/b5e9d64b96e1438795a4aebfc8e1dd1c
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-14 (2021)
Abstract Mass spectrometry data is one of the key sources of information in many workflows in medicine and across the life sciences. Mass fragmentation spectra are generally considered to be characteristic signatures of the chemical compound they ori
Externí odkaz:
https://doaj.org/article/ec463e46886740b1b44fb5d7afbdec59
Autor:
Kalaivani Sundararajan, Sonja Georgievska, Bart H. W. te Lindert, Philip R. Gehrman, Jennifer Ramautar, Diego R. Mazzotti, Séverine Sabia, Michael N. Weedon, Eus J. W. van Someren, Lars Ridder, Jian Wang, Vincent T. van Hees
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Accurate and low-cost sleep measurement tools are needed in both clinical and epidemiological research. To this end, wearable accelerometers are widely used as they are both low in price and provide reasonably accurate estimates of movement.
Externí odkaz:
https://doaj.org/article/97baecca4ff44f33ac66c0224412daae
Autor:
Florian Huber, Lars Ridder, Stefan Verhoeven, Jurriaan H Spaaks, Faruk Diblen, Simon Rogers, Justin J J van der Hooft
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 2, p e1008724 (2021)
Spectral similarity is used as a proxy for structural similarity in many tandem mass spectrometry (MS/MS) based metabolomics analyses such as library matching and molecular networking. Although weaknesses in the relationship between spectral similari
Externí odkaz:
https://doaj.org/article/887256e23eb646309013b76fb5c9ba3a
Autor:
Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn, Michel Dumontier
Publikováno v:
PeerJ Computer Science, Vol 6, p e281 (2020)
It is essential for the advancement of science that researchers share, reuse and reproduce each other’s workflows and protocols. The FAIR principles are a set of guidelines that aim to maximize the value and usefulness of research data, and emphasi
Externí odkaz:
https://doaj.org/article/e3339c7f439d4843822785f5308945c9
Autor:
Walter Baccinelli, Sven van der Burg, Robin Richardson, Djura Smits, Cunliang Geng, Lars Ridder, Bouke Scheltinga, Nele Albers, Willem- Paul Brinkman, Eline Meijer, Jasper Reenalda
Publikováno v:
IVA 2022-Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents
Smoking tobacco and physical inactivity are key preventable behavioural risk factors of cardiovascular disease (CVD). Computerised coaching systems can help individuals to modify risky behaviours, thereby preventing CVD. However, most reported eHealt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f34842be4b84cf671590968becb701e7
https://doi.org/10.1145/3514197.3551252
https://doi.org/10.1145/3514197.3551252
Autor:
Jian Wang, Eus J.W. Van Someren, Kalaivani Sundararajan, Séverine Sabia, Bart H W Te Lindert, Vincent T. van Hees, Sonja Georgievska, Philip R. Gehrman, Jennifer R Ramautar, Diego R. Mazzotti, Michael N. Weedon, Lars Ridder
Publikováno v:
Scientific Reports, 11(1):24. Nature Publishing Group
Sundararajan, K, Georgievska, S, te Lindert, B H W, Gehrman, P R, Ramautar, J, Mazzotti, D R, Sabia, S, Weedon, M N, van Someren, E J W, Ridder, L, Wang, J & van Hees, V T 2021, ' Sleep classification from wrist-worn accelerometer data using random forests ', Scientific Reports, vol. 11, no. 1, 24 . https://doi.org/10.1038/s41598-020-79217-x
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports, 11(1). Nature Publishing Group
Sundararajan, K, Georgievska, S, te Lindert, B H W, Gehrman, P R, Ramautar, J, Mazzotti, D R, Sabia, S, Weedon, M N, van Someren, E J W, Ridder, L, Wang, J & van Hees, V T 2021, ' Sleep classification from wrist-worn accelerometer data using random forests ', Scientific Reports, vol. 11, no. 1, 24 . https://doi.org/10.1038/s41598-020-79217-x
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports, 11(1). Nature Publishing Group
Accurate and low-cost sleep measurement tools are needed in both clinical and epidemiological research. To this end, wearable accelerometers are widely used as they are both low in price and provide reasonably accurate estimates of movement. Techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d395db253d74b67a7093dc1ba68637ee
https://research.vumc.nl/en/publications/040b1208-baf1-4d7f-8a07-e045fb3a72ce
https://research.vumc.nl/en/publications/040b1208-baf1-4d7f-8a07-e045fb3a72ce
Publikováno v:
Journal of Cheminformatics
Journal of Cheminformatics, 13(1)
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-14 (2021)
Journal of Cheminformatics 13 (2021) 1
Journal of Cheminformatics, 13(1)
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-14 (2021)
Journal of Cheminformatics 13 (2021) 1
Mass spectrometry data is one of the key sources of information in many workflows in medicine and across the life sciences. Mass fragmentation spectra are generally considered to be characteristic signatures of the chemical compound they originate fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff0da604a97afcd68874dccd31d59353
http://europepmc.org/articles/PMC8556919
http://europepmc.org/articles/PMC8556919
Poster presentedat ICTOPEN 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d51da7b84b905f480decd8b8e3c0fd5
Autor:
Lucas Visscher, F. Matthias Bickelhaupt, Dennis Svatunek, Lars Ridder, Song Yu, Ivan Infante, Trevor A. Hamlin
Publikováno v:
European Journal of Organic Chemistry, 2-3, pp. 378-386
European Journal of Organic Chemistry, 2019(2), 378-386. Wiley-VCH Verlag
European Journal of Organic Chemistry, 378-386
STARTPAGE=378;ENDPAGE=386;ISSN=1434-193X;TITLE=European Journal of Organic Chemistry
Hamlin, T A, Svatunek, D, Yu, S, Ridder, L, Infante, I, Visscher, L & Bickelhaupt, F M 2019, ' Elucidating the Trends in Reactivity of Aza-1,3-Dipolar Cycloadditions ', European Journal of Organic Chemistry, vol. 2019, no. 2, pp. 378-386 . https://doi.org/10.1002/ejoc.201800572
European Journal of Organic Chemistry, 2019(2), 378-386. Wiley-VCH Verlag
European Journal of Organic Chemistry, 378-386
STARTPAGE=378;ENDPAGE=386;ISSN=1434-193X;TITLE=European Journal of Organic Chemistry
Hamlin, T A, Svatunek, D, Yu, S, Ridder, L, Infante, I, Visscher, L & Bickelhaupt, F M 2019, ' Elucidating the Trends in Reactivity of Aza-1,3-Dipolar Cycloadditions ', European Journal of Organic Chemistry, vol. 2019, no. 2, pp. 378-386 . https://doi.org/10.1002/ejoc.201800572
This report describes a density functional theory investigation into the reactivities of a series of aza-1,3-dipoles with ethylene at the BP86/TZ2P level. A benchmark study was carried out using QMflows, a newly developed program for automated workfl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3bcf628d802a07c388c781a5b813a83
https://doi.org/10.1002/ejoc.201800572
https://doi.org/10.1002/ejoc.201800572